1. Identifying drivers of non-stationary climate-growth relationships of European beechChristopher Leifsson, Allan Buras, Claudia Baittinger, Giovanna Battipaglia, Franco Biondi, Branko Stajić, Vojtěch Čada, Liam Cavin, Katarina Čufar, Martin De Luis, 2024, izvirni znanstveni članek Ključne besede: climate sensitivity, dendroecology, forests, drought, linear mixed-effects models, Fagus sylvatica Celotno besedilo (datoteka, 1,19 MB) Gradivo ima več datotek! Več... |
2. Data analysis using regression and multilevel/hierarchical modelsAndrew B. Gelman, Jennifer Hill, 2009 Ključne besede: statistika, statistične metode, verjetnost, regresijske analize, linearni modeli, podatki, družbene vede, statistics, statistical methods, probability, regression analysis, linear models, data, social sciences Celotno besedilo (povezava drugam) |
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4. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confoundingRok Blagus, 2023, izvirni znanstveni članek Ključne besede: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation Celotno besedilo (datoteka, 570,98 KB) Gradivo ima več datotek! Več... |
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6. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank Celotno besedilo (datoteka, 4,29 MB) Gradivo ima več datotek! Več... |